Positivity rate for COVID-19 of RT-PCR tests of the first quarter of 2021 of the state of Amazonas
Bibliographic record
Abstract
The Ministry of Health (MoH) received the first notification of a confirmed case of Covid-19 in Brazil on February 26, 2020. Based on daily data reported by the State Health Secretariats to the Ministry of Health, from February 26, 2020, to May 15, 2021, 15,586,534 cases and 434,715 deaths from covid-19 were confirmed in Brazil. The pandemic in Brazil had already completed more than a year since the first reported case, but unfortunately, it was not possible to say that the situation was stable and that the epidemic was controlled in 2021 to opt for the relaxation of social isolation. In this sense, it is understood that testing in the population was a tool of great relevance to analyze whether cases were decreasing. The purpose of this research was to write the positivity rate for Covid-19 of the RT-PCR tests of the first quarter of 2021 in the State of Amazonas. The methodology used was a descriptive study using the e-SUS Notifica database. The results indicate that the average positivity of the State of Amazonas considering the tests carried out in the first quarter of 2021 was 36.47%, and the WHO recommendation is up to 5%, a level not reached by any Brazilian state.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".